Data Engineer Core Data Warehouse (m/f/d)
München, DE, 80802
IDS GmbH - Analysis and Reporting Services (IDS) unlocks the value of data for the global investment industry: We validate, refine, and link data from a wide variety of sources and make it available for mission-critical processes along all investment strategies and products quickly, worldwide, and at any time. Fund management companies, insurance companies, banks and pension funds can use IDS to access a flexibly scalable data platform as well as all necessary analyses and reports in the desired format. As a 100% subsidiary of Allianz SE, IDS has stood for stability, reliability and certified security in the handling of its customers' data since 2001.
71265 | Data & AI | Professional | | IDS | Full-Time | Permanent
JOB PURPOSE/ROLE
- Software development in the field of Core Data Processing with the programming languages SQL and PL/SQL
- Data modeling and enrichment
- Continuous development and support of processes in a heterogeneous system landscape based on Oracle 19c databases (Exadata)
- Participate in the renewal of the technology stack with cloud-based services (e.g. REST API)
- Support of the specialist department, including in the implementation of overarching functional extensions
- Depending on experience, sub-project management or project management with planning, coordination and implementation, including requirements analysis (and customer communication) is also possible
If you are enthusiastic about data, then you are exactly right with us. You can expect an international environment with flat hierarchies giving you the freedom to contribute your ideas and experience. To support your start at IDS GmbH, we offer an extensive onboarding program.
KEY REQUIREMENTS/SKILLS/EXPERIENCE
- Successfully completed technical or university studies in (business) informatics,
- mathematics or economics with an IT focus and/or comparable professional experience
- In-depth knowledge of SQL including relevant development experience with very large databases. Proven willingness and ability to apply Oracles PL/SQL in a very short time at high professional standards.
- Experience with cloud solutions and data lakes
- Knowledge of Python
- Interest in topics related to the finance/insurance industry
- Analytical and conceptual skills, coordination and organizational skills
- High degree of analytical thinking, motivation, reliability, personal responsibility and independence
- Team spirit and strong communication skills
- Customer- and service-oriented, confident appearance in an international environment
- Very good knowledge of German and English
WHAT WE OFFER
- Benefit from flexible working hours, a home office arrangement and 30 vacation days per year
- With us, you can expect an intercultural environment with flat hierarchies, a familiar working atmosphere as well as independent work in dedicated teams
- Become part of a company with start-up spirit that combines the advantages of the Allianz Group
- Take advantage of our wide range of training and development opportunities and shape your individual career path
- Benefit, among other things, from annual bonus payments, additional benefits, health initiatives, employee restaurant and a company pension pla
Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.
Great to have you on board. Let's care for tomorrow.